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--- |
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library_name: transformers |
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license: other |
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base_model: Qwen/Qwen3-4B-Instruct-2507 |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: sft_direct |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# sft_direct |
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This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on the scope_sft_direct dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3041 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.3289 | 0.0747 | 500 | 0.3394 | |
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| 0.3445 | 0.1494 | 1000 | 0.3315 | |
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| 0.3383 | 0.2241 | 1500 | 0.3268 | |
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| 0.3352 | 0.2987 | 2000 | 0.3224 | |
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| 0.3027 | 0.3734 | 2500 | 0.3197 | |
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| 0.3272 | 0.4481 | 3000 | 0.3166 | |
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| 0.3216 | 0.5228 | 3500 | 0.3138 | |
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| 0.3223 | 0.5975 | 4000 | 0.3108 | |
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| 0.3346 | 0.6722 | 4500 | 0.3076 | |
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| 0.3098 | 0.7468 | 5000 | 0.3065 | |
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| 0.2938 | 0.8215 | 5500 | 0.3059 | |
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| 0.315 | 0.8962 | 6000 | 0.3046 | |
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| 0.301 | 0.9709 | 6500 | 0.3040 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.22.1 |
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